Targeting the uncertainty of predictions at patient-level using an ensemble of classifiers coupled with calibration methods, Venn-ABERS, and Conformal Predictors: A case study in AD.
Telma PereiraSandra CardosoManuela GuerreiroAlexandre de MendonçaSara C. MadeiraAlzheimer's Disease Neuroimaging InitiativePublished in: J. Biomed. Informatics (2020)
Keyphrases
- ensemble learning
- majority voting
- training data
- classifier ensemble
- training set
- multiple classifiers
- randomized trees
- ensemble classifier
- neural network
- neural network ensemble
- confidence levels
- ensemble pruning
- base learners
- ensemble members
- decision trees
- machine learning algorithms
- random forests
- ensemble methods
- weak learners
- rule induction algorithm
- learning algorithm
- individual classifiers
- imbalanced data
- feature ranking
- support vector
- linear classifiers
- online auctions
- learned models
- final classification
- clinical trials
- classification accuracy
- trained classifiers
- one class support vector machines
- random forest